| /*global console window describe xdescribe it expect runs waits*/ | |
| (function () { | |
| require.paths.unshift(__dirname + '/../../../'); | |
| require('thorny/base')('./config/default.json')(function ($) { | |
| describe('a vector2', function () { | |
| it('should contain the following functions', function () { | |
| var vector2 = $('thorny math vector2'); | |
| expect(typeof vector2.factory).toEqual('function'); | |
| expect(typeof vector2.centroid).toEqual('function'); |
| require 'rubygems' | |
| require 'nokogiri' | |
| require 'fileutils' | |
| require 'date' | |
| require 'uri' | |
| # usage: ruby import.rb my-blog.xml | |
| # my-blog.xml is a file from Settings -> Basic -> Export in blogger. | |
| data = File.read ARGV[0] |
| jekyll |
| // backbone.sync adaptor that uses mongojs to store models | |
| // returns a q.defer().promise | |
| 'use strict'; | |
| var mongojs = require('mongojs'); | |
| var q = require('q'); | |
| module.exports = function (method, model, options) { | |
| var app = require('../app'); | |
| var d = q.defer(); |
| // This F# dojo is directly inspired by the | |
| // Digit Recognizer competition from Kaggle.com: | |
| // http://www.kaggle.com/c/digit-recognizer | |
| // The datasets below are simply shorter versions of | |
| // the training dataset from Kaggle. | |
| // The goal of the dojo will be to | |
| // create a classifier that uses training data | |
| // to recognize hand-written digits, and | |
| // evaluate the quality of our classifier |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <script type="text/javascript" src="http://mbostock.github.com/d3/d3.js?1.25.0"></script> | |
| <script type="text/javascript" src="http://mbostock.github.com/d3/d3.time.js?1.25.0"></script> | |
| <script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.6.2/jquery.min.js"></script> | |
| </head> | |
| <body> | |
| <div id="chart"></div> |
The first 15 seconds of the D3 show reel. See full video at http://vimeo.com/29862153. Includes seamless transitions between the following visualization types:
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <style> | |
| body { | |
| font: 14px sans-serif; | |
| } | |
| .axis path, .axis line { | |
| fill: none; |
| Get exchange rate as JSONP via YQL. | |
| YQL Console: http://developer.yahoo.com/yql/console | |
| Query (USD to SEK): select rate,name from csv where url='http://download.finance.yahoo.com/d/quotes?s=USDSEK%3DX&f=l1n' and columns='rate,name' | |
| Example code: | |
| <script type="text/javascript"> |
Data visualization in one of three most important steps in data mining (https://github.com/entaroadun/hnpickup). Often times, it's impossible to understand data without proper visualization. I went looking for great tools to do that.
Two website list recent JS visualization frameworks: